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Abstract #0026

Low Rank Motion Correction for free breathing first pass myocardial perfusion

Gastao Cruz1, Alina Hua1, Camila Munoz1, Tevfik Ismail1, Amedeo Chiribiri1, René M. Botnar1, and Claudia Prieto1
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom

Conventional myocardial perfusion imaging requires free breathing acquisitions, with high spatial and temporal resolution. Leveraging the underlying redundant anatomic information to improve this multi-contrast application is challenging due to motion. Here a novel Low Rank Motion Corrected (LRMC) reconstruction is proposed to enable highly accelerated, motion corrected free breathing first pass myocardial perfusion imaging. This approach combines low rank subspace modelling (to resolve contrast) and non-rigid motion fields (to correct respiratory motion). The proposed approach successfully corrects respiratory motion and considerably improves image quality compared to conventional iterative SENSE reconstruction.

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